Rfm-based Personalization
RFM-Based Personalization is a customer engagement strategy that uses an individual’s Recency, Frequency, and Monetary value scores to tailor marketing actions, distinguishing itself from other personalization approaches by its exclusive reliance on transactional behavioral metrics derived from the RFM framework.
8
Publications
349
Citations
21
Authors
10
Institutions
Publications per year
2017–2026
3
Parents
8
1–5 of 8
21
University of Electronic Science and Technology of China, China
1 publications · 32 citations
1
h-index
1 publications · 21 citations
1
h-index
1
h-index
1 publications · 21 citations
1
h-index
1
h-index
1–5 of 21
10
Wuyi University
Jiangmen, China
1 h-index
1 publications
32 citations
Dongyang Mirae University
Seoul, South Korea
1 h-index
2 publications
22 citations

Beijing University of Chemical Technology
Beijing, China
1 h-index
6 publications
192 citations
Datang Telecom Group (China)
Beijing, China
1 h-index
1 publications
32 citations

Chungbuk National University
Cheongju-si, South Korea
1 h-index
2 publications
22 citations
SPX Transformer Solutions (United States)
Waukesha, United States
1 h-index
1 publications
41 citations
Rajamangala University of Technology Krungthep
Bangkok, Thailand
1 h-index
1 publications
114 citations

Industrial and Commercial Bank of China
Beijing, China
1 h-index
1 publications
32 citations
1–8 of 10
2 publications · 32 citations
2
h-index
1 publications · 114 citations
1
h-index
WCMC · 1 publications · 32 citations
1
h-index
1 publications · 41 citations
1
h-index
1 publications · 20 citations
1
h-index
1–5